Revert PDF generation; simplify to DOCX + MD + JSON only
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- Remove PDF helpers, LibreOffice, PyPDF2, reportlab
- Transcript DOCX: standalone, no cover page, with line numbering
- Summary DOCX: standalone, no cover page, no line numbering
- Attachments:
  - Transcribe: JSON, transcript MD, transcript DOCX
  - Transcribe & Summarize: JSON, transcript MD, transcript DOCX, summary MD, summary DOCX
This commit is contained in:
admin
2026-06-15 03:38:12 +00:00
parent 6233a41f61
commit e27e5b8522
4 changed files with 14 additions and 480 deletions
+5 -114
View File
@@ -14,7 +14,6 @@ from .summarizer import SummarizerClient, SummarizerError
from .misc import setup_logging
from .email_sender import send_email, EmailError, load_template
from .email_sender import create_transcript_docx, create_summary_docx
from .email_sender import create_combined_docx, generate_pdf_documents
logger = logging.getLogger("scraibe.tasks")
@@ -93,7 +92,7 @@ def get_queue_position(task_id: str) -> int:
if found:
break
# If not found in reserved, it may already be active or not yet visible.
# If not found in reserved, it may already be active or not yet visible.
# In that case, treat it as position 1.
if found:
return max(ahead + 1, 1)
@@ -415,59 +414,6 @@ def process_transcription_task(
)
speaker_map = {}
# 3c) Generate short cover-page descriptions using summarizer
transcript_cover_desc = ""
summary_cover_desc = ""
dt = datetime.utcnow()
today_str = f"{dt.strftime('%B')} {dt.day}, {dt.year}"
try:
scraibe._ensure_summarizer()
summarizer = scraibe._summarizer
# Transcript description
prompt = (
"In one short sentence (max 25 words), describe the content of this transcript "
"for use on a cover page. Do not include speaker names. Output only the sentence.\n\n"
+ transcript_text
)
response = summarizer._chat_completion(
messages=[{"role": "user", "content": prompt}],
temperature=0.3,
max_tokens=60,
)
transcript_cover_desc = (
(response or {}).get("choices", [{}])[0].get("message", {}).get("content", "")
).strip()
if not transcript_cover_desc:
transcript_cover_desc = "Transcript of the recorded conversation."
logger.info("Transcript cover description: %s", transcript_cover_desc)
# Summary description (if summary requested)
if include_summary:
prompt = (
"In one short sentence (max 25 words), describe the content of this summary "
"for use on a cover page. Output only the sentence.\n\n"
+ summary_text
)
response = summarizer._chat_completion(
messages=[{"role": "user", "content": prompt}],
temperature=0.3,
max_tokens=60,
)
summary_cover_desc = (
(response or {}).get("choices", [{}])[0].get("message", {}).get("content", "")
).strip()
if not summary_cover_desc:
summary_cover_desc = "Summary of the recorded conversation."
logger.info("Summary cover description: %s", summary_cover_desc)
except (SummarizerError, Exception) as e:
logger.warning("Failed to generate cover descriptions: %s", e)
transcript_cover_desc = transcript_cover_desc or "Transcript of the recorded conversation."
if include_summary:
summary_cover_desc = summary_cover_desc or "Summary of the recorded conversation."
# 4) Prepare files
# Transcript .md
@@ -477,14 +423,11 @@ def process_transcription_task(
f.write(transcript_text)
temp_files.append(md_transcript_path)
# Transcript .docx (standalone, with cover page)
# Transcript .docx (standalone, no cover page)
docx_transcript_path = _safe_filename("TRANSCRIPT", local, date_tag, ".docx")
create_transcript_docx(
transcript_text,
docx_transcript_path,
include_cover=True,
cover_date=today_str,
cover_desc=transcript_cover_desc,
)
temp_files.append(docx_transcript_path)
@@ -511,7 +454,6 @@ def process_transcription_task(
# Summary files (if present)
md_summary_path = None
docx_summary_path = None
docx_combined_path = None
if summary_text:
# Summary .md
@@ -521,77 +463,26 @@ def process_transcription_task(
f.write(summary_text)
temp_files.append(md_summary_path)
# Summary .docx (standalone, with cover page)
# Summary .docx (standalone, no cover page)
docx_summary_path = _safe_filename("SUMMARY", local, date_tag, ".docx")
create_summary_docx(
summary_text,
docx_summary_path,
include_cover=True,
cover_date=today_str,
cover_desc=summary_cover_desc,
)
temp_files.append(docx_summary_path)
# Combined .docx: Transcript + Summary with cover pages
docx_combined_path = _safe_filename("TRANSCRIPT_AND_SUMMARY", local, date_tag, ".docx")
create_combined_docx(
transcript_text=transcript_text,
summary_text=summary_text,
filename=docx_combined_path,
transcript_cover_date=today_str,
transcript_cover_desc=transcript_cover_desc,
summary_cover_date=today_str,
summary_cover_desc=summary_cover_desc,
)
temp_files.append(docx_combined_path)
# 4b) Generate PDF documents
# Always use transcript text; use summary_text only if include_summary is True
pdf_summary_text = summary_text if include_summary else ""
pdf_files = {}
try:
pdf_output_dir = tempfile.mkdtemp(prefix="pdf_output_")
pdf_files = generate_pdf_documents(
transcript_text=transcript_text,
summary_text=pdf_summary_text,
output_dir=pdf_output_dir,
transcript_cover_date=today_str,
transcript_cover_desc=transcript_cover_desc,
summary_cover_date=today_str,
summary_cover_desc=summary_cover_desc,
)
for pdf_path in pdf_files.values():
if pdf_path and os.path.exists(pdf_path):
temp_files.append(pdf_path)
except Exception as e:
logger.warning("PDF generation failed (continuing with DOCX attachments): %s", e)
# 5) Build attachments list
# Base attachments: JSON, transcript MD, transcript DOCX
# Always: JSON, transcript MD, transcript DOCX
attachments = [
md_transcript_path,
docx_transcript_path,
json_path,
]
# If summary is present, add summary MD and DOCXs
# If summary is present, add summary MD and DOCX
if summary_text:
attachments += [md_summary_path, docx_summary_path]
if docx_combined_path:
attachments.append(docx_combined_path)
# Add PDFs based on mode:
# - Always: TRANSCRIPT.pdf
# - If summary: SUMMARY.pdf and COMBINED.pdf
if pdf_files.get("transcript_pdf"):
attachments.append(pdf_files["transcript_pdf"])
if pdf_files.get("summary_pdf"):
attachments.append(pdf_files["summary_pdf"])
if pdf_files.get("combined_pdf"):
attachments.append(pdf_files["combined_pdf"])
# 6) Send success email
send_success_email(